Topology Identification of Complex Network via Chaotic Ant Swarm Algorithm

Author:

Peng Haipeng1,Li Lixiang1,Kurths Jürgen2,Li Shudong3,Yang Yixian14

Affiliation:

1. Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

2. Potsdam Institute for Climate Impact Research, D14473 Potsdam, Germany

3. College of Mathematics, Shandong Institute of Business and Technology, Yantai, Shandong 264005, China

4. National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications, Beijing 100876, China

Abstract

Nowadays, the topology of complex networks is essential in various fields as engineering, biology, physics, and other scientific fields. We know in some general cases that there may be some unknown structure parameters in a complex network. In order to identify those unknown structure parameters, a topology identification method is proposed based on a chaotic ant swarm algorithm in this paper. The problem of topology identification is converted into that of parameter optimization which can be solved by a chaotic ant algorithm. The proposed method enables us to identify the topology of the synchronization network effectively. Numerical simulations are also provided to show the effectiveness and feasibility of the proposed method.

Funder

Foundation for the Author of National Excellent Doctoral Dissertation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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